Combining PVT Generation and Air Conditioning: A Cost Analysis of Surplus Heat Utilization

Golla, Armin; Staudt, Philipp; Weinhardt, Christof

doi:10.1109/sest.2019.8849048

Cited by 5 publications

(6 citation statements)

References 25 publications

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“…Beyond the scope of this study, the proposed control strategy offers potential for further connection of energy sectors. For example, the model could be used to develop a supply strategy for cooling load as presented in (Golla et al 2019).…”

Section: Discussionmentioning

confidence: 99%

An operational strategy for district heating networks: application of data-driven heat load forecasts

et al. 2020

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To face the challenges of climate change, the integration of renewable energy sources in the energy-intensive heating sector is a crucial aspect of emission reduction. For an efficient operation of coupling devices such as heat pumps with intermittent sources of renewable energy, accurate heat load forecasts need to be developed and embedded into an operation strategy to enable further decarbonisation of heat generation. Data analysis driven forecasts based on weather data hold the potential of identifying consumption patterns to forecast day-ahead heat demand and have been studied extensively for electricity demand forecasts. However, it remains to be shown how such forecasts can be applied in district heating systems. In this study, we propose a control strategy that utilizes hourly heat load forecasts with a 24-hours rolling horizon. First, we investigate supervised forecasting techniques on three different heat load data sets. The application of convolutional neural networks on data of the district heating network in Flensburg, Germany delivers the most promising outcome. Elaborating further on this example, we then develop a control strategy and demonstrate how a heat load forecast can be used to improve the utilization of offshore wind generation or reduce energy costs through a heat pump and a heat storage system. Thus, we contribute to the electrification of the heat sector and thereby enable a reduction of carbon emissions.

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Section: Discussionmentioning

confidence: 99%

An operational strategy for district heating networks: application of data-driven heat load forecasts

et al. 2020

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“…Wind and solar energy can replace fossil-fuelled conventional generation. Furthermore, electricity can substitute fossil fuel in the transportation and heating sector (Golla et al 2019). Therefore, decarbonizing the electricity sector is the most straightforward path to achieve global emission objectives.…”

Section: Smart Grids and Energy Marketsmentioning

confidence: 99%

Information and Market Engineering at KIT: Quo Vadis?

et al. 2021

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Information systems (IS) are nowadays at the core of many personal and institutional activities and influence daily life more than ever before. To understand, evaluate and envision the forms of how we interact with IS, interdisciplinary and multifaceted research efforts are required. At the Information and Market Engineering chair at the Karlsruhe Institute of Technology, this task is taken head-on via research that stretches from user experiences to system design. In this review, the present research foci at the department are outlined, together with a brief description of its origins and the global developments that underly the necessity of conducting these particular IS studies.

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“…Photovoltaic thermal panel named PVT are also listed in RES and can be easily mounted on a building's roof. A PVT system [34] uses photovoltaic and solar thermal components to produce both electricity and heat at the same time composing one integrated system which is capable of satisfying the needs of a household to a sufficient extent. Consequently, the thermal energy supplied by a PVT system can be used to cover the heat demand of a building.…”

Section: A Smart Technology Building Templatementioning

confidence: 99%

“…Consequently, the thermal energy supplied by a PVT system can be used to cover the heat demand of a building. However, when there is low heat demand like in summer, the heat supply can exceed the demand [34], which means, surplus heat which is the thermal energy that if it is not utilized by any technical system, it will be then released to the environment. This important fact will be used in the following technical systems that are developed below.…”

Section: A Smart Technology Building Templatementioning

confidence: 99%

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Energy Efficiency in Smart Buildings: IoT Approaches

2020

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The Internet of Energy (IoE) impacts on smart cities' power sector. IoE is an implementation of the Internet of Things technology (IoT) into distributed energy systems and aims to achieve energy efficiency, to avoid energy wasting, and improve environmental conditions. IoE technology includes, among others, utilizing smart sensors and renewable energy integration. Therefore, the IoE is becoming a legal science tool to serve the purpose of a smart city. In this paper, we refer to the reasons that led the European Union to compile Regulations for facilitating transformation of existing cities, starting from existing buildings, into smart buildings. We propose a smart building template that manages the performance of all technical systems through IoT technology with the view of achieving energy efficiency. In addition, in order to improve the certification of existing buildings, as for energy performance, we propose an automated remote, control method supported by cloud interface. This method minimizes time consuming procedures and stores, on a cloud platform the energy performance of each building, for the purpose of drawing conclusion and applying measures. INDEX TERMS Energy efficiency, energy performance of existing buildings, Internet of Things, smart building template, smart energy management.

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Combining PVT Generation and Air Conditioning: A Cost Analysis of Surplus Heat Utilization

Cited by 5 publications

References 25 publications

An operational strategy for district heating networks: application of data-driven heat load forecasts

An operational strategy for district heating networks: application of data-driven heat load forecasts

Information and Market Engineering at KIT: Quo Vadis?

Energy Efficiency in Smart Buildings: IoT Approaches

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